class_docstr: Smallnorb data set.
code: def _info(self):
      features_dict = {
          "image": tfds.features.Image(shape=(96, 96, 1)),
          "image2": tfds.features.Image(shape=(96, 96, 1)),
          "label_category": tfds.features.ClassLabel(
              names=[
                  "four-legged animals",
                  "human figures",
                  "airplanes",
                  "trucks",
                  "cars",
              ]
          ),
          "instance": tfds.features.ClassLabel(num_classes=10),
          "label_elevation": tfds.features.ClassLabel(num_classes=9),
          "label_azimuth": tfds.features.ClassLabel(num_classes=18),
          "label_lighting": tfds.features.ClassLabel(num_classes=6),
      }
      if self.version > "2.0.0":
          features_dict["id"] = tfds.features.Text()
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(features_dict),
          homepage="https://cs.nyu.edu/~ylclab/data/norb-v1.0-small/",
          supervised_keys=("image", "label_category"),
      )
  
file_path: datasets/tensorflow_datasets/datasets/smallnorb/smallnorb_dataset_builder.py
imports: import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self